Lectures related to Untitled | EPFL Graph Search

Introduces linear combinations in vector spaces, operations, and polynomials of degree 2.

Covers the Fourier inversion formula, exploring its mathematical concepts and applications, emphasizing the importance of understanding the sign.

Explores generalization error in machine learning, focusing on data distribution and hypothesis impact.

Explains Big-O notation for algorithm complexity analysis through polynomial examples and growth rate identification.

Explores trigonometric polynomials, emphasizing Fourier inversion and Plancherel formulas.